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📷 R package that supports the analysis of images annotations 📷

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maelle/watchme

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This package is under development.

Installation

library("devtools")
install_github("masalmon/watchme", build_vignettes=TRUE)

Introduction

This package aims at supporting the analysis of annotation of images, e.g. pics of wearable camera. The workflow is as follows:

  • pictures are produced, e.g. participants of a study wear a camera that automatically produces pictures;

  • these pictures are then annotated by algorithms/ coders using a list of annotations;

  • the results of these annotations are then used to e.g. reconstruct the sequence of activities of a person during the day, or link it to pollution exposure.

This R package supports the following tasks:

  • How to convert data to a format easier to deal with in R?

  • How to summarize annotations?

  • How to plot annotations?

  • How to calculate interrater agreement?

This is a minimalist README, but check out the package website to find more information about the functions, a vignette about data conversion, summarizing and plotting, another one about interrater agreement, and one vignette describing data processing in the CHAI project.

Meta

  • Please report any issues or bugs.
  • License: GPL
  • Get citation information for opencage in R doing citation(package = 'watchme')
  • Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

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